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Approaches to Channel Equalization
2012 Second International Conference on Advanced Computing & Communication Technologies, 2012Communication is an integral part of our life in which digital communication is playing a dominant role. Many difficulties are faced in communication and intersymbol interference is one of them. In this paper its possible solution "equalization" is presented. The circuit or equipment used to achieve equalization is called an equalizer.
Harmandeep Singh, S.S. Gill
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IEEE Potentials, 1999
Signals that pass through a channel undergo various forms of distortion. One very common type of distortion is intersymbol interference, or ISI. ISI is caused by interference from the symbols that were transmitted before and after the given symbol. ISI-induced errors can cause the receiver to misinterpret the received samples.
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Signals that pass through a channel undergo various forms of distortion. One very common type of distortion is intersymbol interference, or ISI. ISI is caused by interference from the symbols that were transmitted before and after the given symbol. ISI-induced errors can cause the receiver to misinterpret the received samples.
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Channel Estimation and Equalization for Terahertz Receiver With RF Impairments
IEEE Journal on Selected Areas in Communications, 2021Zhaocheng Wang, Ziyuan Sha
exaly
Atmospheric Channel, Channel Estimation, and Channel Equalization
2022Xizheng Ke, Ke Dong
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Unsupervised Linear and Nonlinear Channel Equalization and Decoding Using Variational Autoencoders
IEEE Transactions on Cognitive Communications and Networking, 2020David Burshtein, Avi Caciularu
exaly
Training Strategy of Fuzzy-Firefly Based ANN in Non-Linear Channel Equalization
IEEE Access, 2022Pradyumna Kumar Mohapatra +2 more
exaly
Turbo equalization: adaptive equalization and channel decoding jointly optimized
IEEE Journal on Selected Areas in Communications, 2001J Labat
exaly
A new training scheme for neural networks and application in non-linear channel equalization
Applied Soft Computing Journal, 2015Siba Panigrahi, Sunita Panda
exaly
Artificial Neural Network trained by Particle Swarm Optimization for non-linear channel equalization
Expert Systems With Applications, 2014Prasant Kumar Pattnaik
exaly

